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Evaluation of features for the development of machine learning models for microprocessor performance screening

azienda Thesis in external company    


keywords MACHINE LEARNING, TEST, PROCESSORS

Reference persons RICCARDO CANTORO, GIOVANNI SQUILLERO

Research Groups ELECTRONIC CAD & RELIABILITY GROUP - CAD

Thesis type EXPERIMENTAL

Description Thesis in collaboration with Infineon on a research project for the evaluation of production data to support the development of microprocessors performance prediction models. The work aims at selecting significant features and implementing efficient prediction models (classification, regression) using those features.

Required skills Python, basics of machine learning frameworks (sklearn, pytorch, tensorflow..)


Deadline 31/12/2022      PROPONI LA TUA CANDIDATURA




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